We are hardware engineers anticipating the acceleration of our workflows. Tired of waiting, we are building reinforcement-learning environments that teach LLMs to become capable hardware engineers.
Hardware is exactly the kind of open-ended development domain that models should thrive in, yet data scarcity and poor data quality blights model training. Our environments teach real engineering scenarios and reward real engineering outcomes.
Each environment is a graded, sandboxed task drawn from our workflows: read the spec, write the RTL, build the stimulus, close the loop. They teach thoughtfulness and methodology, not reward hacks.
Your model could be the next gen tool for building chips. Allow us to help.
If you are interested in training your models to be a competent hardware engineer, please contact us.
If you care about getting RTL right — clean designs, honest verification — and want to shape how models learn that craft, let's talk.
We hire for depth and curiosity over credentials. Tell us why you chose hardware.
Reach out at careers@arcverex.io